Data Engineer, Principal

Blue Shield of CA; Phoenix (AZ); On-site; USD 150,000 - 210,000; Full time

Job summary

Blue Shield of CA is seeking a Principal Data Engineer to lead end-to-end data platform initiatives, guiding data lake, data warehouse, and data mart design in a cloud environment.

You will collaborate with Enterprise Architects, analytics, and data teams, mentor engineering talent, and drive AI/ML enabled data products with a strong focus on governance, security, and scalable performance.

Qualifications

• Bachelor's degree or equivalent experience is required.
• 10+ years of data engineering experience in enterprise environments.
• Experience with AI/ML, analytics, and data product ecosystems.
• Expertise in data vault 2.0, dimensional modeling, lakehouse architectures.
• Strong ability to influence enterprise architecture and mentor senior engineers.
• Deep knowledge of data management, modeling, integration, privacy and security.
• Hands-on with SQL, Python, DBT Cloud and DBT core; familiarity with Snowflake/Synapse/Databricks.
• Proven capacity to design scalable, high-volume data platforms with distributed architectures.
• Advanced knowledge of CI/CD, source control, and agile tools (Git, Bitbucket, Jira).
• Healthcare or regulated enterprise experience is preferred.

Responsibilities

• Lead the design and delivery of cloud-based data lakes, data warehouses, and data marts.
• Partner with Enterprise Architects, analytics, and data engineering to shape solutions.
• Mentor senior engineers and influence enterprise architecture decisions.
• Drive AI/ML enabled data products and ensure data governance and security.

Skills

SQL

Python

DBT Cloud

Snowflake

Databricks

Data Vault 2.0

Education

Bachelor's degree or equivalent

Tools

DBT Core

Git

Jira

Bitbucket

Job description

Your Role

The Data Services team is responsible for technical design and end‑to‑end delivery of complex data‑driven solutions and data products for the enterprise. The Data Engineer, Principal will report to the Sr Manager, Data Solutions / Director. In this role you will be partnering with Enterprise Architects, Portfolio, Analytics and Data engineering teams for designing technical solutions and building data products to meet enterprise data needs. You will be responsible for driving the data product by designing and implementing cloud data lakes, data warehouse and data mart solutions.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high‑performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience

• Requires a bachelor's degree or equivalent experience.
• Requires a minimum of 10 years of relevant data engineering experience.
• Experience supporting enterprise AI/ML, advanced analytics, and data product ecosystems.
• Expertise in Data Vault 2.0, dimensional modeling, Lakehouse architecture, or domain-driven data design.
• Demonstrated ability to influence enterprise architecture decisions and mentor senior engineering talent.
• Expert in understanding data management practices, data modelling (data vault 2.0), master data management, data integration, data architecture, data virtualization, data warehousing, data privacy and security.
• Demonstrated enthusiasm for AI and emerging technologies, with solid understanding of AI/ML concepts and hands‑on experience applying AI‑driven solutions in enterprise environments.
• Hands on experience with SQL, Python, DBT Cloud and DBT core. Expert in one or more of NoSQL and database appliances and platforms (Snowflake, Synapse, Databricks)
• Proven ability to design and scale large‑volume, high‑performance data platforms leveraging parallel and distributed architectures.
• Advanced knowledge of CI/CD, source control, and agile delivery tooling (e.g., Git, Bitbucket, Jira).
• Experience in healthcare, regulated environments, or large enterprises is strongly preferred.